Artificial Intelligence (AI)
Computer Studies · 50 practice questions
Definition of AI; branches of AI (machine learning - supervised, unsupervised and reinforcement, neural networks, expert systems, fuzzy logic, natural language processing, deep learning); application areas of AI (robotics, e-commerce, navigation, human resources, healthcare, agriculture, gaming, automobiles, social media, marketing).
- Define AI.
- Identify the branches of AI.
- List the application areas of AI.
Try a few questions
- Practice question 1
AI development requires collaboration between computer scientists, domain experts, and
- A.ethicists to ensure responsible outcomes
- B.only professionals entirely unrelated to technology or ethics
- C.no other professionals at all, since AI requires no collaboration
- D.individuals with no relevant expertise of any kind
Show the answer
A. ethicists to ensure responsible outcomes
Involving ethicists alongside technical experts is increasingly seen as important for responsible AI development.
- Practice question 2
The concept of general AI, capable of performing any intellectual task a human can, remains largely
- A.a concept that has no relevance to modern AI development
- B.an outdated concept no longer discussed in AI research
- C.a fully achieved, widely deployed technology today
- D.theoretical and unrealized
Show the answer
D. theoretical and unrealized
General AI, with human-level versatility across all intellectual tasks, remains a largely theoretical, unachieved goal.
- Practice question 3
Machine learning models require careful validation to ensure their predictions remain
- A.permanently and automatically correct, with no validation ever needed
- B.unrelated to the actual data they were trained on
- C.accurate and reliable over time
- D.entirely random and unpredictable at all times
Show the answer
C. accurate and reliable over time
Ongoing validation is necessary to confirm that a machine learning model's predictions stay accurate and reliable.
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